General Information: The Channing Division of Network Medicine at Brigham and Women’s Hospital and Harvard Medical School is seeking a postdoctoral fellow to work on interdisciplinary projects that involves developing approaches to construct and analyze networks with translational applications in biology and medicine.
Position Description: The successful applicant will work on developing quantitative approaches to integrate different types of Omics data (epigenetic, genetic, miRNA, RNA, etc) into gene regulatory networks, and on methods for analyzing and comparing networks for translational applications in medicine. The work will be primarily supervised by Dr. Kimberly Glass, but will also include interacting with a highly interdisciplinary team of researchers from both the Channing and elsewhere in the Longwood Medical Area. Additional information about the types of projects performed by the group can be found at https://sites.google.com/a/channing.harvard.edu/kimberlyglass/
Basic Qualifications: Applicants should hold a PhD in Bioinformatics, Computational Biology, Statistics, Mathematics, Physics, Computer Science, or a related field. They also should have quantitative skills and experience in the computational analysis of genomic or other biological data, as demonstrated through peer-reviewed publications.
Additional Qualifications: The successful applicant will be highly-motivated and have strong communication, writing, and programming skills (e.g. Matlab/R/python). The ability to work as part of a large, integrated research team is essential. Previous research experience in network methods and genomic data analysis, as well as strong interest in the translational application of quantitative approaches to biology and medicine, are all strongly desired.
Application Instructions: Interested candidates should send a copy of their CV and research statement to kimberly.glass at channing dot harvard dot edu.
Equal Opportunity Employer: Brigham and Women’s Hospital is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.